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    <title>浏阳德塔软件开发有限公司 女娲计划</title>
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    <br/>第七章 类人DNA与神经元基于催化算子映射编码方式
    <br/>The Initons Catalytic Reflection Between Humanoid DNA and Nero
    Cell
    <br/>类人 DNA 与 神经元基于催化算子映射编码方式
    <br/>Yaoguang Luo, Rongwu Luo
    <br/>罗瑶光, 罗荣武
    <br/>Keywords
    <br/>VPCS, AOPM, IDUC, Nero, Artificial, Decoder, Medical, Paralling,
    Computing,
    <br/>Humanoid, ETL, Parser, Data Mining
    <br/>关键词
    <br/>VPCS 架构 AOPM 逻辑 IDUC 编码 神经元 人工 解码 医学 并行计算 类人仿生 ETL
    数据挖掘 爬取
    <br/>5. 2 Deta DNA decoding development, 德塔催化单元的DNA解码发展
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    These two logics do not conflict. Are they one? I got an
    exciting argument, and I had to find an argument, so I screened my
    study and work style in recent 20 years, my own thinking style and the
    execution logic style of my software, hoping to find a negative theory
    to overturn it, but unfortunately, I couldn't find it. So, I followed
    up and re-examined my soft works, optimized them, and found that once
    optimized to the edge of rational function to irrational function, they
    were all linear. Small fragments of the combined decision-making
    process of adding, deleting, modifying and checking multidimensional,
    database and memory data. These fragments can be coded effectively.
    AOPM -VPCS- IDUC seems to explain all the answers I want.
    <br/>
    这两种逻辑并不冲突, 难道他们本身就是一体? 我得到一个振奋人心的论点, 我得找到论据,
    于是我将最近这20 年的学习和工作方式, 我的本身思维方式和 我的软件的执行逻辑方式进行筛选
    , 希望能找到否定的理论来推翻它, 可惜我没有找到. 于是我跟进了一步, 重新审阅了我的
    软著作品, 优化它们, 发现一旦优化到有理函数到无理函数的边缘, 都是对线性, 多维,
    数据库, 内存数据 的 增, 删, 改, 查 的组合决策过程的小片段. 这些片段都能进行有效的编码
    AOPM -VPCS- IDUC 似乎能解释一切我要的答案.
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